Practicing business intelligence allows your company to transform raw data into sets of insights for targeted business growth. The business intelligence and analytics community on BrightTALK is made up of thousands of data scientists, database administrators, business analysts and other data professionals. Find relevant webinars and videos on business analytics, business intelligence, data analysis and more presented by recognized thought leaders. Join the conversation by participating in live webinars and round table discussions.
The biggest cyber attacks and breaches that disrupted enterprises, organizations and governments worldwide in 2017 underscore the importance of network, endpoint, and application monitoring. As attacks are getting more sophisticated, more frequent and the line between cybercrime and cyberwar blurs, businesses should put cybersecurity a key priority in 2018. The world’s top security experts will discuss advanced cybersecurity, from trends and long-term strategy, through AI-powered technology and execution.
Big data creation, collection and applications have influenced business decisions more than ever in 2017, and if advances in artificial intelligence, virtual reality, and enterprise applications continue to amaze, 2018 will be even bigger.
Businesses must consider the infrastructure implications as they corral data, understand and translate data. Deploying big data projects in various cloud environments and having them interact with one another correctly is only getting more complicated as the world adopts data as its universal language. Learn from the leading experts how to take advantage of the cloud, its infrastructure and analyzing power.
The insertion of big data and data analytics in all aspects of business has powered a surge in predictive modeling effectiveness. However, many theoretical, technical, and programmatic questions still exist. How can we sift through heaps of data to accurately formulate patterns and predictions? Can we trust a machine to teach itself and make business decisions, and how do we present all this information efficiently?
With the global Internet of Things analytics (IoT) market expected to grow by around 25%, now is the time to get to grips on how to manage the flood of data generated by all these new sources. Find out how to make the transition from Edge to Cloud, how to manage data from different connective devices, and why IoT needs fog computing.
Artificial Intelligence and machine learning may no longer make the breaking news reports, but the way that these frameworks have been applied in the real world has indeed been impressive. Learn from cutting-edge data scientists and analysts as they guide you through new approaches for building the bridge between humans and machines.
Data can tell a story, but only if you can see it clearly. Learn from the forefront experts of data design and analysis as they explore how we illustrate data for our business and infrastructure needs, for business users to make a quick data-driven decisions and data scientists to further their knowledge of creating charts with R and Python.
Big data is bigger than ever and shows no indication of slowing down. Data analytics’ maturation has given business intelligence a great boost, allowing us to collect and analyze insights at rapid speeds. Join these expert sessions on Data Architecture, IoT Analytics, and Predictive Analytics to learn everything you need to know about the advancements in business intelligence and data analytics from this past year and what to expect in 2017.
In any revolution, there’s an eventual need for rules and regulations. It’s no secret that recent advancements in technology have created a data revolution in all of us, leading to a great heap of unstructured and structured data. More importantly, however, it demands modern data architectures that reach beyond in-house warehouses. Join this summit to learn what’s new in conceptual, logical, and physical data modeling, as well as, best practices in standardization and governance to help you build and manage a modern data architecture capable of handling any onrush of data.
It’s the Big Bang of big data; or where it all begins. The foundational first step in data analysis is data preparation. With the potential to derail everything that supersedes it, it’s imperative that the right measures are taken far in advance of any discovery analysis. Join these discussions to learn best practices in proper data cleaning, modeling, transformations and normalization for all data sets.